Publication Details
Issue: Vol 5, No 2 (2026)
Pages: 62-65
ISSN: 2751-7543

Abstract

This article examines the methods of data collection and quality assessment in economic analysis. During the research, key criteria such as data accuracy, reliability, completeness, and relevance were analyzed. Data quality was evaluated using statistical and econometric methods, including mean squared error, coefficient of variation, and regression analysis. The results showed that high-quality data ensures the accuracy and reliability of economic analysis outcomes. Additionally, the article develops practical recommendations for improving data collection and verification processes.

Keywords
Economic Analysis Data Collection Data Quality Accuracy Reliability Completeness Relevance Econometric Model Regression Analysis Statistical Methods Coefficient of Variation Mean Squared Error Economic Indicators Database Analysis Methods